Opportunities
Job opportunities
BIFOLD welcomes job applications from interested parties year-round.
Ideal candidates are those who seek to challenge themselves academically, are passionate about data science and computer systems engineering, and possess expertise in Big Data analytics and Machine Learning, benchmarking, data science, scalable data management, scalable processing technologies that leverage hardware-based solutions, stream processing, or visual analytics.
In addition, you should have experience in two or more of the following: big data frameworks (e.g., Apache Flink, Apache Spark), database systems (e.g., SQL, NoSQL), and programming languages (e.g., Java, Javascript, Scala, C/C++, Python). Good knowledge of both German and English are strongly desired. However, at a minimum, candidates must be able to communicate in English.
If not stated otherwise in the job posting, job applications should be directed to coordination@bifold.berlin.
In general, applications must include a cover letter (specifying target position, and including the job reference number, when available), CV, academic transcripts, and letters of recommendation. Note: Postdoctoral Researcher applicants must also provide examples of past publications.
Open positions:
2 Positions: Research Assistant (TU Berlin, Database Systems and Information Management)
Working field:
The main focus is on tasks in the following areas: Big Data Management, Big Data Architectures and Benchmarking Processing of high data volumes and low latency, Novel hardware architectures for information management; Scalable processing and optimization of declarative data analysis programs; Scalable infrastructures for data science and artificial intelligence.
Employer: Technische Universität Berlin – Faculty IV – Institute of Software Engineering and Theoretical Computer Science/ Database Systems and Information
Salary grade: E 14 TV-L Berliner Hochschulen
Starting date: At the earliest possible
Closing date: 22/10/21
Reference number: IV-211/21
Research Assistant (TU Berlin, Machine Learning)
Working field:
Research in the field of machine learning; development of new neural architectures for molecular interactions; equivariant learning structures; generative methods; software implementation of machine learning algorithms
Employer: Technische Universität Berlin – Faculty IV – Institute of Software Engineering and Theoretical Computer Science – FG Machine Learning
Salary grade: E13 TV-L Berliner Hochschulen
Starting date: At the earliest possible
Closing date: 27/10/21
Reference number: IV-573/21